Principal Applied Scientist, Robotics
Core
Developing next-generation robotics systems combining AI, control systems, and mechanical design for safe human-robot collaboration in dynamic environments.
Role type
Principal Applied Scientist (Robotics & Control)
Builds
Adaptable automation solutions for robotic dexterous manipulation, locomotion, and human-robot interaction.
Domain
Robotics, Artificial Intelligence, Control Systems
Deliverable
production ML models | product features
Required skills
whole body control methods, hierarchical quadratic programming, model-predictive control, imitation learning, reinforcement learning, real-time controller deployment, simulation environments, state estimation from multiple sensors
Preferred skills
hardware and algorithm co-design, team mentoring, publications or patents in robotics/control/ML
Technologies
IsaacLab, MuJoCo, Drake
Responsibilities
Define long-term scientific roadmap for whole body control and dexterous manipulation; serve as primary technical authority on control methods; tackle open-ended research problems in loco-manipulation; co-design systems with hardware leads; represent scientific capabilities to leadership; mentor scientists and engineers
Seniority
Principal, strategy & mentorship
